56 citations · 213 across the 43 of their papers we have counts for
46 papers
MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition
Jiamin Xie, John H. L. Hansen
In this paper, we present MixRep, a simple and effective data augmentation strategy based on mixup for low-resource ASR. MixRep interpolates the feature dimensions of hidden repres…
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model
Mu Yang, Ram C. M. C. Shekar, Okim Kang +1
This study is focused on understanding and quantifying the change in phoneme and prosody information encoded in the Self-Supervised Learning (SSL) model, brought by an accent ident…
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
Mufan Sang, Yong Zhao, Gang Liu +2
Recently, Transformer-based architectures have been explored for speaker embedding extraction. Although the Transformer employs the self-attention mechanism to efficiently model th…
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation
Vinay Kothapally, John H. L. Hansen
Several speech processing systems have demonstrated considerable performance improvements when deep complex neural networks (DCNN) are coupled with self-attention (SA) networks. Ho…
SkipConvGAN: Monaural Speech Dereverberation using Generative Adversarial Networks via Complex Time-Frequency Masking
Vinay Kothapally, J. H. L. Hansen
With the advancements in deep learning approaches, the performance of speech enhancing systems in the presence of background noise have shown significant improvements. However, imp…
Multi-source Domain Adaptation for Text-independent Forensic Speaker Recognition
Zhenyu Wang, John H. L. Hansen
Adapting speaker recognition systems to new environments is a widely-used technique to improve a well-performing model learned from large-scale data towards a task-specific small-s…